Epochs: 20
Image Shape: (300, 400, 3)

Confusion Matrix:
Bobcat, Coyote, Deer, Elk, Human, Not Interesting, Raccoon, Weasel
[[  0   1   1   0   0   0   0   0]
 [  0  11   7   7   0   3   0   0]
 [  0  13 579  85   1   0   0   0]
 [  0  21  89 456   2   3   0   0]
 [  0   1  11   6   1   0   0   0]
 [  0   0   0   0   0 261   0   0]
 [  0  17   6   6   1   8   0   0]
 [  0   0   0   3   0   0   0   0]]
              precision    recall  f1-score   support

           0     0.0000    0.0000    0.0000         2
           1     0.1719    0.3929    0.2391        28
           2     0.8355    0.8540    0.8446       678
           3     0.8099    0.7986    0.8042       571
           4     0.2000    0.0526    0.0833        19
           5     0.9491    1.0000    0.9739       261
           6     0.0000    0.0000    0.0000        38
           7     0.0000    0.0000    0.0000         3

    accuracy                         0.8175      1600
   macro avg     0.3708    0.3873    0.3682      1600
weighted avg     0.8033    0.8175    0.8090      1600

Accuracy and loss according to tensorflow model.evaluate():
Accuracy on test data: 0.8175
Loss on test data: 0.8741
